User agent detail

Mozilla/5.0 (F09C;FOMA;like Gecko),gzip(gfe),gzip(gfe),gzip(gfe)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
DoCoMoF09C Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
close FujitsuF09Cmobile-browseryescloseclose0.19002 Detail
PiwikDeviceDetector
3.5.2
No result found
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
close DoCoMoF09Ccloseclosecloseclose0.003 Detail
UserAgentStringCom
Mozilla close closecloseclosecloseclose0.16302 Detail
WhatIsMyBrowserCom
Mozilla 5.0 closeclosecloseclosecloseclose0.42004 Detail
WhichBrowser
2.0.10
FujitsuF09Cmobile:featureyescloseclose0.002 Detail
Woothee
v1.2.0
docomo F09Ccloseclosecloseclosemobilephoneclosecloseclose0.001 Detail
Wurfl
1.6.4
close DoCoMoF704iFeature Phoneyescloseclose0.031 Detail

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-02-13 13:32:22 | by ThaDafinser